Electroencephalogram subject identification: A review

•The state-of-the-art on EEG based subject identification.•Research methodology on EEG for Biometrics.•The genotype–phenotype map of the EEG.•Published works on EEG identification. This is, to the best of the authors knowledge, the first complete research on the state of the art on EEG based subject...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 41; no. 15; pp. 6537 - 6554
Main Authors:	Del Pozo-Banos, Marcos, Alonso, Jesús B., Ticay-Rivas, Jaime R., Travieso, Carlos M.
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier Ltd 01.11.2014 Elsevier
Subjects:	Algorithms Applied sciences Biological and medical sciences Biometrics Computer science; control theory; systems Computer systems and distributed systems. User interface Data processing. List processing. Character string processing EEC Electrodes Electrodiagnosis. Electric activity recording Electroencephalogram Exact sciences and technology Genetics Identification Investigative techniques, diagnostic techniques (general aspects) Medical sciences Memory organisation. Data processing Nervous system Recording Rhythm Searching Software State of the art Support vector machines Biometrics Genetics Identification Electroencephalogram Performance evaluation Alpha rhythm Time frequency domain method Inheritance Electroencephalography Variable frequency Review Modeling Neurophysiology Electrodes Vector support machine Data fusion Genetic engineering Categorization Power spectrum
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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